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| Cause grabbing of electric power production safety accidents based on association rules mining |
| Li Xun, Zhou Wei |
| State Grid Zhejiang Electric Power Co., Ltd, Zhoushan Power Supply Company, Zhoushan, Zhejiang 316000 |
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Abstract The vigorous development of large power data provides new opportunities and platforms for the reliable perception of power production security situation. Firstly, a multi-level and all-round power production safety accident causation system is established. Secondly, relying on the mining of association rules, the calculation model of accident-induced degree is established, including the definition of association rules, Boolean discretization of different types of accidents, the calculation of confidence, support and correlation of association rules. Again, Apriori algorithm is used to capture the critical causes of accidents. Finally, an example is given to prove it. Empirical results show that the panoramic information of historical fault reports can be extracted scientifically by using the model in this paper, and can be abstracted to show the key causes of various accident events, so as to form a very targeted safety control measures and strategies.
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Received: 06 September 2019
Published: 27 February 2020
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| Cite this article: |
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Li Xun,Zhou Wei. Cause grabbing of electric power production safety accidents based on association rules mining[J]. Electrical Engineering, 2020, 21(2): 86-90.
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http://dqjs.cesmedia.cn/EN/Y2020/V21/I2/86
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2020, Vol. 21 
